class_docstr: This class is a child class of the ComprehensiveFCParameters class
  and has the same functionality as its base class.
  
  The only difference is, that the features with high computational costs are not calculated. Those are denoted by
  the attribute "high_comp_cost".
  
  You should use this object when calling the extract function, like so:
  
  >>> from tsfresh.feature_extraction import extract_features, EfficientFCParameters
  >>> extract_features(df, default_fc_parameters=EfficientFCParameters())
code: def __init__(self):
      ComprehensiveFCParameters.__init__(self)
  
      # drop all features with high computational costs
      for fname, f in feature_calculators.__dict__.items():
          if fname in self and hasattr(f, "high_comp_cost"):
              del self[fname]
  
imports: import logging
  from builtins import range
  from collections import UserDict
  from inspect import getfullargspec
  from itertools import product
  import cloudpickle
  import pandas
  from tsfresh.feature_extraction import feature_calculators
  from tsfresh.utilities.string_manipulation import get_config_from_string
label_desc: Use image node_id 1 to create a new EfficientFCParameters object from inherited base classes: ComprehensiveFCParameters with example: obj = EfficientFCParameters()